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netintel_translate_batch

Translate batches of independent strings in one request, preserving each item's caller ID and status; partial success keeps one failed item from canceling the rest.

Instructions

Translate many independent strings in one request — each with a caller ID preserved in the response — with per-item status, glossary and tone support, and partial success so one bad item never fails the batch, so agents can localize whole…

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toneNo
itemsYes
sourceNo
targetYes
glossaryNo
formalityNo
protected_valuesNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.1.61

TDQS

A3.5/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden and does disclose real operational behavior: caller IDs are preserved in the response, each item gets its own status, and partial success means one bad item never fails the batch. What is missing is batch-size limits, auth/rate-limit expectations, and how failures are surfaced — but the partial-success contract is a meaningful disclosure beyond the schema.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with the core purpose and reasonably dense, but it is a single run-on sentence stacked with em-dash clauses that is visibly truncated ('localize whole…'). The content mostly earns its place, yet the structure is overloaded rather than crisp.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

This is a 7-parameter batch tool with no output schema and no annotations, so the description is doing the heavy lifting — and it omits the response shape, batch limits, and the semantics of source/target/formality/protected_values. It covers the most distinctive behaviors (partial success, per-item status) but leaves the calling contract incomplete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% across 7 parameters, so the description must compensate and largely does not. It names only 'glossary' and 'tone' (plus the caller-ID notion tied to items); source, target, formality, and protected_values are never explained, and no accepted value formats or codes are given.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Translate many independent strings in one request') and immediately differentiates itself from the singular siblings netintel_translate and netintel_translate_short by emphasizing batch scope. An agent can identify this as the multi-string variant without opening the schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied by 'many independent strings in one request' and 'localize whole…', which suggests bulk localization work, but no sibling is named as an alternative and no explicit when-not condition is given. The agent must infer that single-string calls should use netintel_translate instead.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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